Abstract: Mathematical morphology method based on the idea of set theory, which can describe the shapes and structures of images quantitatively, and has been widely used in the field of graphics and image processing, it is an effective method for geometric morphological analysis. This paper first introduces the concepts and definitions of mathematical morphology, and analyses several types of basic morphological operations in detail, then studies the structure and property of morphological filters, and applies it to the denoising processing of fingerprint image, after that, each of the processing steps and results are analyzed, showing that the good performance of morphological methods in image denoising.
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Key words: mathematical morphology, image processing, morphological filter